Scippy

    SCIP

    Solving Constraint Integer Programs

    heur_feaspump.h
    Go to the documentation of this file.
    1/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
    2/* */
    3/* This file is part of the program and library */
    4/* SCIP --- Solving Constraint Integer Programs */
    5/* */
    6/* Copyright (c) 2002-2025 Zuse Institute Berlin (ZIB) */
    7/* */
    8/* Licensed under the Apache License, Version 2.0 (the "License"); */
    9/* you may not use this file except in compliance with the License. */
    10/* You may obtain a copy of the License at */
    11/* */
    12/* http://www.apache.org/licenses/LICENSE-2.0 */
    13/* */
    14/* Unless required by applicable law or agreed to in writing, software */
    15/* distributed under the License is distributed on an "AS IS" BASIS, */
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    17/* See the License for the specific language governing permissions and */
    18/* limitations under the License. */
    19/* */
    20/* You should have received a copy of the Apache-2.0 license */
    21/* along with SCIP; see the file LICENSE. If not visit scipopt.org. */
    22/* */
    23/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
    24
    25/**@file heur_feaspump.h
    26 * @ingroup PRIMALHEURISTICS
    27 * @brief Objective Feasibility Pump 2.0
    28 * @author Timo Berthold
    29 * @author Domenico Salvagnin
    30 *
    31 * The fundamental idea of the Feasibility Pump is to construct two sequences of points which hopefully converge to a
    32 * feasible solution. One sequence consists of LP-feasiblepoints, the other one of integer feasible points. They are
    33 * produced by alternately rounding an LP-feasible point and solvng an LP that finds a point on the LP polyhedron which
    34 * is closest to the rounded, integral point (w.r.t. Manhattan distance).
    35 *
    36 * The version implemented in SCIP supports using an Objective Feasibility Pump that uses a convex combination of the
    37 * Manhattan distance and the original LP objective for reoptimization. It further features Feasibility Pump 2.0
    38 * capabilities, hence propagating the fixings for a faster convergence.
    39 */
    40
    41/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
    42
    43#ifndef __SCIP_HEUR_FEASPUMP_H__
    44#define __SCIP_HEUR_FEASPUMP_H__
    45
    46#include "scip/def.h"
    47#include "scip/type_retcode.h"
    48#include "scip/type_scip.h"
    49
    50#ifdef __cplusplus
    51extern "C" {
    52#endif
    53
    54/** creates the feaspump primal heuristic and includes it in SCIP
    55 *
    56 * @ingroup PrimalHeuristicIncludes
    57 */
    58SCIP_EXPORT
    60 SCIP* scip /**< SCIP data structure */
    61 );
    62
    63#ifdef __cplusplus
    64}
    65#endif
    66
    67#endif
    common defines and data types used in all packages of SCIP
    SCIP_RETCODE SCIPincludeHeurFeaspump(SCIP *scip)
    type definitions for return codes for SCIP methods
    enum SCIP_Retcode SCIP_RETCODE
    Definition: type_retcode.h:63
    type definitions for SCIP's main datastructure